#
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import numpy as np
import cv2
import os
from array2gif import write_gif


def run(max_epoch):
    gif = np.empty((max_epoch, 800, 1600, 3), dtype=np.uint8)
    for i in range(max_epoch):
        gif[i] = cv2.imread(os.path.join('/autotest/CI_daily/CarPeting_AlexNet/code/first_kernel_visualization', 'result%04d.png' % i),0)
        #gif[i] = cv2.imread(os.path.join('first_kernel_visualization', 'result%04d.png' % i))

    np.maximum(np.minimum(gif, 255), 0)
    write_gif(gif, '/autotest/CI_daily/CarPeting_AlexNet/code/first_kernel_visualization.gif', fps=2)

#run(1)
